Donor-acceptor-type poly[chalcogenoviologen-alt-triphenylamine] for synaptic biomimicking and neuromorphic computing

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Zhizheng Zhao - , East China University of Science and Technology (Author)
  • Qiang Che - , East China University of Science and Technology (Author)
  • Kexin Wang - , East China University of Science and Technology (Author)
  • Mohamed E. El-Khouly - , Egypt-Japan University of Science and Technology (Author)
  • Jiaxuan Liu - , East China University of Science and Technology (Author)
  • Yubin Fu - , Chair of Molecular Functional Materials (cfaed), Chair of Molecular Functional Materials (Faculty of Chemistry and Food Chemistry) (Author)
  • Bin Zhang - , East China University of Science and Technology (Author)
  • Yu Chen - , East China University of Science and Technology (Author)

Abstract

Polymer memristors are preeminent candidates for low-power edge computing paradigms. Poly[chalcogenoviologen-alt-triphenylamine] (PCVTPA) has been synthesized by direct coupling of chalcogeno-viologen as electron acceptor and 4-(bromomethyl)-N-(4-(bromo-methyl)phenyl)-N-phenylaniline as electron donor. The introduction of chalcogen atoms (S, Se, Te) into viologen scaffolds can greatly improve electrical conductive, electrochemical, and electrochromic properties of the materials when compared with the conventional viologens. Taking PTeVTPA as an example, the as-fabricated electronic device with a configuration of Al/PTeVTPA/ITO exhibits excellent multilevel storage and history-dependent memristive switching performance. Associated with the unique memristive behavior, the PTeVTPA-based device can not only be used to emulate the synaptic potentiation/depression, the human's learning and memorizing functions, and the transition from short-term synaptic plasticity to long-term plasticity but also carry out decimal arithmetic operations as well. This work will be expected to offer a train of new thought for constructing high-performance synaptic biomimicking and neuromorphic computing system in the near future.

Details

Original languageEnglish
Article number103640
JournaliScience
Volume25
Issue number1
Publication statusPublished - 21 Jan 2022
Peer-reviewedYes

Keywords

Research priority areas of TU Dresden

ASJC Scopus subject areas

Keywords

  • Applied sciences, Computer science, High-performance computing in bioinformatics